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Exemplifying the Significance of Tuning Tf-Idf for Sentiment Mining Online Consumer Review
2018
IJARCCE
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An essential step in the process of comment mining is text pre-processing; a step in which each linguistic term is assigned with a weight that commonly increase with its appearance in the studied text, ...
Ignoring this bias can obvious in a nonrobust analysis at best and can lead to an entirely wrong conclusion at worst. We propose a change to tf-idf that accounts for this bias. ...
TF-IDF: InbalYahavet.a1 [1] reveals the bias introduced by between-participants conversation to the study of comments in social media, and proposes an adjustment. ...
doi:10.17148/ijarcce.2018.7112
fatcat:uzfh4nmdjff6dpcm6zhy3ybtcy
Open-Domain Question–Answering
2006
Foundations and Trends in Information Retrieval
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An important part of our information-gathering behavior has always been to find out what other people think. ...
The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at ...
[264] propose that one apply standard multi-document summarization to a sub-collection of documents that are on the same topic and that are determined to belong to some relevant genre of text, such ...
doi:10.1561/1500000001
fatcat:5xq5eb7idrb37lz3wyzfl4cb34
Opinion Mining and Sentiment Analysis
[chapter]
2016
Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining
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An important part of our information-gathering behavior has always been to find out what other people think. ...
The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at ...
[264] propose that one apply standard multi-document summarization to a sub-collection of documents that are on the same topic and that are determined to belong to some relevant genre of text, such ...
doi:10.1145/2915031.2915050
fatcat:3ypahumv4rhz5alxmh34ikvm3i
Analysis of Human Behavior by Mining Textual Data: Current Research Topics and Analytical Techniques
2021
Symmetry
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The goal of this study was to conduct a literature review of current approaches and techniques for identifying, understanding, and predicting human behaviors through mining a variety of sources of textual ...
Our findings show that, despite recent advancements in predicting human behaviors based on unstructured textual data, significant developments in data analytics systems for identification, determination ...
intelligent analysis of incident
management processes
Information retrieval
Others/theory
[75]
Document-level sentiment classification: an empirical
comparison between SVM and ANN
Document classification ...
doi:10.3390/sym13071276
fatcat:hi5x22zfjfav3oorqm77rtaaaq
Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges
2014
Applied Computational Intelligence and Soft Computing
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Empirical studies indicate that the proposed system can perform reliable sentiment classification at various levels of granularity with high average accuracy of 89% for binary classification and 86% for ...
This paper proposes an opinion mining system that can be used for both binary and fine-grained sentiment classifications of user reviews. ...
Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper. ...
doi:10.1155/2014/735942
fatcat:prmrjlkun5hhbgwotahiobuf3u
The Effects of Online Information on E-Book Pricing Strategies: A Text Analytics Approach
2021
Mathematical Problems in Engineering
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It will bring great profit for vendors if they can make the most of online reviews to figure out the impact of online data on the selling prices of e-books. ...
In this paper, we complement an emerging body of research to explore how e-book prices could be affected by online information via analyzing the sheer volume of online data from e-book websites, namely ...
In order to determine the sentiment score for different features of each customer review, the proposed approach performs sentiment analysis at the clause level using an aspect-oriented sentiment analysis ...
doi:10.1155/2021/2058960
fatcat:gtzl4f3aivhp7nu7zkevwy4qqa
Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure
2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
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We then proceed to show that a new set of features determined from the rhetorical structure of the conversation significantly improves the performance on disagreement detection over a baseline consisting ...
of unigram/bigram features, discourse markers, structural features and meta-post features. ...
., 2008) suggests that the hindex of the conversation is relevant for detecting controversy in a posted article. ...
doi:10.3115/v1/d14-1124
dblp:conf/emnlp/AllenCN14
fatcat:kykjwx7j7zhjrijgjs7oo4kvae
Sentiment Analysis on Twitter Dataset using R Language
2019
Zenodo
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Sentiment Analysis involves determining the evaluative nature of a piece of text. A product review can express a positive, negative, or neutral sentiment or polarity . ...
To adequately capture the impact of negation on individual terms, here proposed to empirically estimate the sentiment scores of terms in negated context from movie review and auto mobile review, and built ...
Then, the process of extracting relevant features is done. ...
doi:10.5281/zenodo.3587698
fatcat:kkxkrojfhzebzcbf2ufamxmave
Can We Predict a Riot? Disruptive Event Detection Using Twitter
2017
ACM Transactions on Internet Technology
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We present an evaluation of the effectiveness of detecting events using a variety of features derived from Twitter posts, namely: temporal, spatial and textual content. ...
To address this challenge we present an end-to-end integrated event detection framework which comprises five main components: data collection, preprocessing, classification, online clustering and summarization ...
In section 5 we present and analyze several features, namely temporal, spatial and textual features. Section 6 presents our ...
doi:10.1145/2996183
fatcat:3kp7gzu47fcjpmkxb6iz4ton6a
Multi-Classifier based Sentiment Analysis for Opinionated Data Posted in Social Networking
2020
International journal of computer science and mobile computing
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(R&D), attempting to add library an item in light of prominent popular opinion. ...
Social networking is the most valuable source of learning, getting ideas, reviews for a product or a service. ...
A correlation based technique was developed for relevance as well as redundancy analysis, and conducted an empirical study of its efficacy contrasting it with other representative techniques. ...
doi:10.47760/ijcsmc.2020.v09i12.009
fatcat:ghb5tzjjtrdfjlxrqsbgqroh5e
Do online reviews reveal mobile application usability and user experience? The case of WhatsApp
2019
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems
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To address this problem, we used sentiment analysis techniques, with the aim of extracting relevant keywords from eWOM WhatsApp data. ...
In our study, we set ourselves the goal of investigating whether online reviews reveal usability and user experience (UUX) issues, being important quality-in-use characteristics. ...
A comprehensive study of existing solutions for mining online opinions is given by [21] . ...
doi:10.15439/2019f289
dblp:conf/fedcsis/WeichbrothB19
fatcat:laxre5wm6rhn3iw4zfrcl74ioq
Text Mining for Big Data Analysis in Financial Sector: A Literature Review
2019
Sustainability
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This study aims to answer three research questions: (i) What is the intellectual core of the field? ...
(ii) Which techniques are used in the financial sector for textual mining, especially in the era of the Internet, big data, and social media? ...
Conflicts of ...
doi:10.3390/su11051277
fatcat:cjkvyvephrf67c4donpui5o5w4
Social & Juristic challenges of AI for Opinion Mining Approaches on Amazon & Flipkart Product Reviews Using Machine Learning Algorithms
2021
SN Computer Science
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It presents a detailed comparative study of such existing sentiment analysis algorithms and methodologies on the basis of five key parameters. ...
This paper addresses and reviews the concepts of automatic identification of the sentiments expressed in the English text for Amazon and Flipkart products using Naive Bayes, Logistic Regression, SentiWordNet ...
Another research work is the feature-based dynamic sentiment analysis system [43] , which was designed for summarization of online product reviews. ...
doi:10.1007/s42979-021-00554-3
fatcat:7q52nqrxp5dfpd7wv7eexkhvbe
Sentiment Analysis: A Perspective on its Past, Present and Future
2012
International Journal of Intelligent Systems and Applications
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It further gives an overview of the state-ofart depicting some previous attempts to study sentiment analysis. ...
Consequently, Sentiment Analysis wh ich automat ically extracts and analyses the subjectivities and sentiments (or polarities) in written text has emerged as an active area of research. ...
Summarization Opinion summarization finds application when the number o f online review of a product is large. Th is may make it hard for both the customer and the product manufactured. ...
doi:10.5815/ijisa.2012.10.01
fatcat:mau54eke75dxdmrn2mlozvbck4
Lexicon Based Sentiment Data Creation Technique for Product Protection (SDTCPP)
2021
Indian Journal of Computer Science and Engineering
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The proposed technique is based on safety lexicons which are trained for classifications from user sentiments. ...
It also affects people both in terms of their health and economy. This makes it necessary to monitor products from user opinions for its protection from duplicates. ...
The results achieved can be summarized as detailed below Public sentiments were assessed on given brands of cosmetic product Conversations of users were studied over a sample user population for assessing ...
doi:10.21817/indjcse/2021/v12i2/211202040
fatcat:vymicvc5unfbtgcoljbqwhhhkm
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